Geospatial Analyst

Company Description

Kritter is a data-first ad-tech company that provides flexible and transparent advertising solutions for brands and agencies of all sizes. We help clients target and deliver customized ads through our Proprietary Programmatic Demand Side Platform that incorporates geospatial intelligence coupled with polygon targeting and market research. We also have a holistic Consumer Insights Platform called ASK1 that helps you draw insights from your audience directly to understand their behavior and trends in the best way possible.

Role Description

We are looking for a skilled and curious Geospatial Analyst to join our growing data intelligence team. In this role, you will be responsible for both building and enriching our geospatial data infrastructure and delivering client-facing geospatial intelligence. You will work with satellite imagery, remote sensing data, terrain models, and large-scale spatial datasets to generate village-level insights that power targeting and market intelligence products. If you have deep expertise in geospatial tools, a system-thinking mindset, and a passion for working with data at scale, we would love to hear from you.

Responsibility

• Design, build, and maintain geospatial data layers covering terrain, land use, infrastructure, economic

• Process and analyse satellite imagery and remote sensing data using Google Earth Engine (GEE) and other platforms to extract meaningful signals.

• Perform spatial analysis and polygon-based operations using tools such as QGIS, PostGIS, GeoPandas, and Shapely.

• Develop and apply classification models and scoring frameworks on geospatial datasets to support intelligence product development.

• Create client-facing geospatial deliverables including maps, spatial reports, targeting overlays, and analytical summaries.

• Collaborate with product and analytics teams to integrate geospatial layers into programmatic targeting and intelligence platforms.

• Ensure data quality, consistency, and scalability across all geospatial datasets and pipelines.

• Support client pitches and presentations with geospatial analysis, visualisations, and data-backed insights.

Qualifications

• 1–2 years of hands-on experience in geospatial analysis, remote sensing, or a closely related field.

• Expert-level proficiency in Google Earth Engine (GEE) for large-scale satellite data processing and analysis.

• Proficiency in Python-based geospatial libraries: GeoPandas, Shapely, Rasterio, Fiona, and related tools.

• Experience working with various remote sensing data sources

• Experience with data visualisation and mapping tools (Kepler.gl, Leaflet, Mapbox, or equivalent) is a plus.

• Big data analytics experience — working with large-scale geospatial datasets using Spark, distributed processing, or cloud-based platforms (GEE, GCS, AWS) — is a strong added advantage.

• Exposure to Snowflake or similar cloud data warehouses for managing and querying geospatial or tabular data at scale is a plus.

• Strong analytical and problem-solving skills with the ability to work with ambiguous, large, and unstructured datasets.

• Good communication skills with the ability to translate complex spatial findings into clear client-facing narratives.

• A degree in Geography, Geoinformatics, Remote Sensing, Environmental Science, Computer Science, or a related field is preferred.